| | --- |
| | library_name: quantumpeer |
| | license: cc-by-nc-4.0 |
| | language: |
| | - en |
| | tags: |
| | - quantum-llm |
| | - quantum-computing |
| | - openpeerllm |
| | - chern-simons |
| | - neural-networks |
| | - pytorch |
| | - causal-lm |
| | - decentralized-learning |
| | - transformer |
| | - boinc |
| | - decent-torch |
| | - lonscript |
| | pipeline_tag: text-generation |
| | datasets: |
| | - OpenPeerAI/OpenPeerLLM |
| | model-index: |
| | - name: OpenPeerLLM |
| | results: |
| | - task: |
| | name: Language Modeling |
| | type: text-generation |
| | dataset: |
| | name: Custom Text Dataset |
| | type: text |
| | metrics: |
| | - name: Epoch |
| | type: number |
| | value: 2 |
| | - name: Model Size |
| | type: text |
| | value: "1.82 GB" |
| | - name: Run Time |
| | type: text |
| | value: "2.5 minutes on Intel UHD Graphics 630" |
| | - name: Loss |
| | type: cross-entropy |
| | value: 7.11 |
| | --- |
| | |
| | # QuantumPeer: Quantum-Enhanced OpenPeerLLM |
| |
|
| | ## Model Description |
| |
|
| | QuantumPeer implements a novel approach to language model execution by combining OpenPeerLLM with quantum circuit simulation inspired by the Chern-Simons theory. This hybrid approach enables unique quantum-classical interactions in natural language processing. |
| |
|
| | ## Intended Uses |
| |
|
| | - Research in quantum-enhanced language models |
| | - Development of hybrid quantum-classical AI systems |
| | - Educational purposes in quantum computing |
| | - Natural language processing with quantum inspiration |
| |
|
| | ## Training Procedure |
| |
|
| | The model utilizes: |
| | - Base Model: OpenPeerLLM |
| | - Quantum Circuit: Custom implementation with Chern-Simons topology |
| | - Integration: Quantum state influence on attention mechanisms |
| |
|
| | ## Technical Specifications |
| |
|
| | - **Framework:** PyTorch + Custom Quantum Simulator |
| | - **Parameters:** Based on OpenPeerLLM architecture |
| | - **Input Format:** Text prompts |
| | - **Output Format:** Generated text with quantum enhancement |
| | - **Model Architecture:** Hybrid quantum-classical |
| |
|
| | ## Limitations & Biases |
| |
|
| | - Simulation-based quantum computing (not real quantum hardware) |
| | - Performance dependent on classical computing resources |
| | - Inherits any limitations from base OpenPeerLLM model |
| |
|
| | ## Out-of-Scope Uses |
| |
|
| | - Production-critical applications |
| | - Safety-critical systems |
| | - Applications requiring true quantum hardware |
| |
|
| | ## Additional Information |
| |
|
| | **License:** CC-BY-NC-4.0/CC-BY-NC-SA - All rights reserved |
| |
|
| | **Creators:** |
| | - OpenPeerAI |
| | - Andrew Magdy Kamal Nassief |
| | - Riemann Computing |
| |
|
